Agenda

• Meta-Analysis
• Physical Activity (PA) and its relationship with diseases/mortality
• Outcomes of interest
• Interactive Interface
• Code to access the dose-response curves

What is meta-analysis?

Meta-analysis of diseases and PA

• Cardiovascular diseases cause 17.9 million deaths per year in 2019
• Cancers are responsible for 9.6 million deaths in 2017
• Physical Activity is known to reduce the risk of cardiovascular diseases, cancers and early deaths

Physical Activity

• The shape of the dose-response curves has not been established for a range of chronic diseases (@garcia2023non)
• Key finding: 1 in 10 premature deaths can be avoided if everyone achieves 75 minutes of vigorous-intensity activity a week
• Higher level of PA is associated with lower risk of all outcomes

Eligibility Criteria

• Prospective cohort studies with general population samples of greater than 10K adults
• 3 or more physical activity categories
• Risk measures and Confidence Interval (CIs) for host of measures/disease end points

Studies

• 196 studies
• 94 cohorts
• > 30 Million participants

Outcomes - overall

Outcomes - Level 1

Outcomes - Level 2

Outcomes - Level 3

Outcome category and type

Meta-analysis and dose-range

Dose distribution and Potential Impact Fraction (PIF)

R Package

• An R package called dose-response physical activity (drpa) is created
• It is open source and hosted on GitHub
• You may need to install it used remotes::install_github("meta-analyses/drpa")

# Specify the cause, outcome_type and the dose
rr <- drpa::dose_response(cause = cause_name, 
        outcome_type = outcome_type, 
        dose = float)

R Package use

# Specify the cause, outcome_type, dose and the confidence interval
rr <- drpa::dose_response(cause = "all-cause-mortality", 
        outcome_type = "fatal", 
        dose = 40,
        confidence_interval = TRUE)

R Package arguments

. . .

Lookup table